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Simulation Based Maritime Design
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Simulation Based Maritime Design

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (10 January 2022) | Viewed by 24260

Special Issue Editors

Dr. Namkug Ku

E-Mail Website
Guest Editor
Department of Naval Architecture and Ocean Engineering, Dong-eui University, Busan 47340, Republic of Korea
Interests: dynamics; machine learning; stability and basic design of ships
Dr. Seung-Ho Ham

E-Mail Website
Guest Editor
Department of Naval Architecture and Marine Engineering, Changown National University, Changwon, Korea
Interests: dynamics; machine learning; ship stability; basic ship design
Dr. Ki-Su Kim

E-Mail Website
Guest Editor
Research Institute of Marine Systems Engineering, Seoul National University, Seoul, Korea
Interests: optimal design; expert systems; flooding analysis; deep learning

Special Issue Information

Dear Colleagues,

This Special Issue covers simulation technology that can be used for maritime design. With the advancement of computing power, simulations based on physics or artificial intelligence have become possible and popular, and these simulations are used in maritime design, such as ship design, process planning of offshore operation, maritime autonomous system design, etc.

We welcome researchers interested in the above topics and encourage practical papers directly applied to the industry as well as academic papers providing novel methodologies. We hope that the papers of this Special Issue will contribute to improving the efficiency and accuracy of maritime design.

Dr. Namkug Ku
Dr. Seung-Ho Ham
Dr. Ki-Su Kim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Modeling and simulation
  • Physics based simulation
  • AI (Artificial intelligence)
  • Digital twin
  • Virtual reality
  • Optimal design
  • Basic ship design
  • Offshore operation

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (5 papers)

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Research

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25 pages, 7134 KiB  
Article
Multi-Objective Multidisciplinary Design Optimization of a Robotic Fish System
by Hao Chen, Weikun Li, Weicheng Cui, Ping Yang and Linke Chen
J. Mar. Sci. Eng. 2021, 9(5), 478; https://doi.org/10.3390/jmse9050478 - 29 Apr 2021
Cited by 31 | Viewed by 4011
Abstract
Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary design optimization problem. However, the research on the design [...] Read more.
Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary design optimization problem. However, the research on the design optimization of robotic fish is rare. In this paper, by combining an efficient multidisciplinary design optimization approach and a novel multi-objective optimization algorithm, a multi-objective multidisciplinary design optimization (MMDO) strategy named IDF-DMOEOA is proposed for the conceptual design of a three-joint robotic fish system. In the proposed IDF-DMOEOA strategy, the individual discipline feasible (IDF) approach is adopted. A novel multi-objective optimization algorithm, disruption-based multi-objective equilibrium optimization algorithm (DMOEOA), is utilized as the optimizer. The proposed MMDO strategy is first applied to the design optimization of the robotic fish system, and the robotic fish system is decomposed into four disciplines: hydrodynamics, propulsion, weight and equilibrium, and energy. The computational fluid dynamics (CFD) method is employed to predict the robotic fish’s hydrodynamics characteristics, and the backpropagation neural network is adopted as the surrogate model to reduce the CFD method’s computational expense. The optimization results indicate that the optimized robotic fish shows better performance than the initial design, proving the proposed IDF-DMOEOA strategy’s effectiveness. Full article
(This article belongs to the Special Issue Simulation Based Maritime Design)
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12 pages, 2754 KiB  
Article
Simulation Modelling for Automated Guided Vehicle Introduction to the Loading Process of Ro-Ro Ships
by Sanghyung Park, Jeho Hwang, Hangjin Yang and Sihyun Kim
J. Mar. Sci. Eng. 2021, 9(4), 441; https://doi.org/10.3390/jmse9040441 - 19 Apr 2021
Cited by 11 | Viewed by 4905
Abstract
This paper aims to introduce the adaptation of automated guided vehicles (AGVs) in the car-loading process of Ro-Ro ships compared with the current loading process. This study analyzed the applicable scenarios for the AGVs’ adaptation in a Ro-Ro port, employing Arena simulation to [...] Read more.
This paper aims to introduce the adaptation of automated guided vehicles (AGVs) in the car-loading process of Ro-Ro ships compared with the current loading process. This study analyzed the applicable scenarios for the AGVs’ adaptation in a Ro-Ro port, employing Arena simulation to compare the productivity of the loading processes. The results revealed that the adaptation of the AGVs in the car-loading process of the Ro-Ro ships improves productivity and solves several problems of the current loading process. With 21 or more AGVs, the entire processing time is similar to or less than the current loading process, whereas, after 40 AGVs, it stayed the same. Furthermore, as the number of AGVs increases, the transfer time decreases, but the queue becomes longer. Identifying the effect of the AGV adaptation, this study provides valuable insights for developing the various traffic situations in Ro-Ro port operations. Full article
(This article belongs to the Special Issue Simulation Based Maritime Design)
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21 pages, 15427 KiB  
Article
Operational Analysis of Container Ships by Using Maritime Big Data
by Min-Jae Oh, Myung-Il Roh, Sung-Woo Park, Do-Hyun Chun, Myeong-Jo Son and Jeong-Youl Lee
J. Mar. Sci. Eng. 2021, 9(4), 438; https://doi.org/10.3390/jmse9040438 - 18 Apr 2021
Cited by 9 | Viewed by 5226
Abstract
The shipping company or the operator determines the mode of operation of a ship. In the case of container ships, there may be various operating patterns employed to arrive at the destination within the stipulated time. In addition, depending on the influence of [...] Read more.
The shipping company or the operator determines the mode of operation of a ship. In the case of container ships, there may be various operating patterns employed to arrive at the destination within the stipulated time. In addition, depending on the influence of the ocean’s environmental conditions, the speed and the route can be changed. As the ship’s fuel oil consumption is closely related to its operational pattern, it is possible to identify the most economical operations by analyzing the operational patterns of the ships. The operational records of each shipping company are not usually disclosed, so it is necessary to estimate the operational characteristics from publicly available data such as the automatic identification system (AIS) data and ocean environment data. In this study, we developed a visualization program to analyze the AIS data and ocean environmental conditions together and propose two categories of applications for the operational analysis of container ships using maritime big data. The first category applications are the past operation analysis by tracking previous trajectories, and the second category applications are the speed pattern analysis by shipping companies and shipyards under harsh environmental conditions. Thus, the operational characteristics of container ships were evaluated using maritime big data. Full article
(This article belongs to the Special Issue Simulation Based Maritime Design)
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Other

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19 pages, 13881 KiB  
Technical Note
Heave Compensation Dynamics for Offshore Drilling Operation
by Dave Kim and Namkug Ku
J. Mar. Sci. Eng. 2021, 9(9), 965; https://doi.org/10.3390/jmse9090965 - 6 Sep 2021
Cited by 2 | Viewed by 5856
Abstract
In this study, dynamic response analysis of a heave compensation system for offshore drilling operations was conducted based on multibody dynamics. The efficiency of the heave compensation system was computed using simulation techniques and virtually confirmed before being applied to drilling operations. The [...] Read more.
In this study, dynamic response analysis of a heave compensation system for offshore drilling operations was conducted based on multibody dynamics. The efficiency of the heave compensation system was computed using simulation techniques and virtually confirmed before being applied to drilling operations. The heave compensation system was installed on a semi-submersible and comprises several interconnected bodies with various joints. Therefore, a dynamics kernel based on multibody dynamics was developed to perform dynamic response analysis. The recursive Newton–Euler formulation was adopted to construct the equations of motion for the multibody system. Functions of the developed dynamics kernel were verified by comparing them with those from other studies. Hydrostatic force, linearized hydrodynamic force, and pneumatic and hydraulic control forces were considered the external forces acting on the platform of the semi-submersible rig and the heave compensation system. The dynamic simulation was performed for the heave compensation system of the semi-submersible rig for drilling operations up to 3600 m water depth. From the results of the simulation, the efficiency of the heave compensation system was evaluated to be approximately 96.7%. Full article
(This article belongs to the Special Issue Simulation Based Maritime Design)
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19 pages, 10055 KiB  
Technical Note
Experimental Study on Development of Mooring Simulator for Multi Floating Cranes
by Junhyeok Bae, Juhwan Cha, Min-Guk Seo, Kangsu Lee, Jaeyong Lee and Namkug Ku
J. Mar. Sci. Eng. 2021, 9(3), 344; https://doi.org/10.3390/jmse9030344 - 20 Mar 2021
Cited by 5 | Viewed by 3053
Abstract
In this study, the coupled motion of a mooring system and multifloating cranes were analyzed. For the motion analysis, the combined equations of motions of the mooring line and multifloating cranes were introduced. The multibody equations for floating cranes were derived from the [...] Read more.
In this study, the coupled motion of a mooring system and multifloating cranes were analyzed. For the motion analysis, the combined equations of motions of the mooring line and multifloating cranes were introduced. The multibody equations for floating cranes were derived from the equations of motion. The finite element method (FEM) was used to derive equations to solve the stretchable catenary problem of the mooring line. To verify the function of mooring simulator, calculation results were compared with commercial mooring software. To validate the analysis results, we conducted an experimental test for offshore operation using two floating crane models scaled to 1:40. Two floating crane models and a pile model were established for operation of uprighting flare towers. During the model test, the motion of the floating cranes and tensions of the mooring lines were measured. Through the model test, the accuracy of the mooring analysis program developed in this study was verified. Therefore, if this mooring analysis program is used, it will be possible to perform a mooring analysis simulation at the same time as a maritime work simulation. Full article
(This article belongs to the Special Issue Simulation Based Maritime Design)
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